Aktueller Stand
Column
Infektionen Schüler
Column
Infektionen Lehrkräfte
Zeitlicher Verlauf der Infektionen
Row
Inhaltlicher Verlauf
Row
Beschreibung
Beschreibung Graphik.
Quarantäne in Schulen
Column
Quarantäne von Schülern
Column
Quarantäne von Lehrkräften
Tabellen Bundesländer
Germany (overall)
Column
Count of COVID-19 Infected pupils
Column
Vorhersage
The model is also developed as an age-structured model. It is adopted by deterministic SEIR (Susceptible-Exposed-Infectious-Recovered) model with additional compartments for the hospitalized, intensive unit, long-COVID and death. The rates of infection corresponding age groups depend on the social contacts by POLYMOD study. The model is fitted to reported cases from KMK and RKI (survstat). The fitted parameters are used to predict the number of cases in schools. We consider the last two weeks reported data to show two weeks forecasts. The forecasts is shown in student and teacher/teaching staff cases.
Baden-Württemberg
Column
Count of COVID-19 Infected pupils
Count of COVID-19 Infected teacher
Column
Vorhersage
The model is also developed as an age-structured model. It is adopted by deterministic SEIR (Susceptible-Exposed-Infectious-Recovered) model with additional compartments for the hospitalized, intensive unit, long-COVID and death. The rates of infection corresponding age groups depend on the social contacts by POLYMOD study. The model is fitted to reported cases from KMK and RKI (survstat). The fitted parameters are used to predict the number of cases in schools. We consider the last two weeks reported data to show two weeks forecasts. The forecasts is shown in student and teacher/teaching staff cases.
Bavaria
Column
Count of COVID-19 Infected pupils
Count of COVID-19 Infected teacher
Column
Vorhersage
The model is also developed as an age-structured model. It is adopted by deterministic SEIR (Susceptible-Exposed-Infectious-Recovered) model with additional compartments for the hospitalized, intensive unit, long-COVID and death. The rates of infection corresponding age groups depend on the social contacts by POLYMOD study. The model is fitted to reported cases from KMK and RKI (survstat). The fitted parameters are used to predict the number of cases in schools. We consider the last two weeks reported data to show two weeks forecasts. The forecasts is shown in student and teacher/teaching staff cases.
Berlin
Column
Count of COVID-19 Infected pupils
Count of COVID-19 Infected teacher
Column
Vorhersage
The model is also developed as an age-structured model. It is adopted by deterministic SEIR (Susceptible-Exposed-Infectious-Recovered) model with additional compartments for the hospitalized, intensive unit, long-COVID and death. The rates of infection corresponding age groups depend on the social contacts by POLYMOD study. The model is fitted to reported cases from KMK and RKI (survstat). The fitted parameters are used to predict the number of cases in schools. We consider the last two weeks reported data to show two weeks forecasts. The forecasts is shown in student and teacher/teaching staff cases.
Brandenburg
Column
Count of COVID-19 Infected pupils
Count of COVID-19 Infected teacher
Column
Vorhersage
The model is also developed as an age-structured model. It is adopted by deterministic SEIR (Susceptible-Exposed-Infectious-Recovered) model with additional compartments for the hospitalized, intensive unit, long-COVID and death. The rates of infection corresponding age groups depend on the social contacts by POLYMOD study. The model is fitted to reported cases from KMK and RKI (survstat). The fitted parameters are used to predict the number of cases in schools. We consider the last two weeks reported data to show two weeks forecasts. The forecasts is shown in student and teacher/teaching staff cases.
Bremen
Column
Count of COVID-19 Infected pupils
Count of COVID-19 Infected teacher
Column
Vorhersage
The model is also developed as an age-structured model. It is adopted by deterministic SEIR (Susceptible-Exposed-Infectious-Recovered) model with additional compartments for the hospitalized, intensive unit, long-COVID and death. The rates of infection corresponding age groups depend on the social contacts by POLYMOD study. The model is fitted to reported cases from KMK and RKI (survstat). The fitted parameters are used to predict the number of cases in schools. We consider the last two weeks reported data to show two weeks forecasts. The forecasts is shown in student and teacher/teaching staff cases.
Hamburg
Column
Count of COVID-19 Infected pupils
Count of COVID-19 Infected teacher
Column
Vorhersage
The model is also developed as an age-structured model. It is adopted by deterministic SEIR (Susceptible-Exposed-Infectious-Recovered) model with additional compartments for the hospitalized, intensive unit, long-COVID and death. The rates of infection corresponding age groups depend on the social contacts by POLYMOD study. The model is fitted to reported cases from KMK and RKI (survstat). The fitted parameters are used to predict the number of cases in schools. We consider the last two weeks reported data to show two weeks forecasts. The forecasts is shown in student and teacher/teaching staff cases.
Hesse
Column
Count of COVID-19 Infected pupils
Count of COVID-19 Infected teacher
Column
Vorhersage
The model is also developed as an age-structured model. It is adopted by deterministic SEIR (Susceptible-Exposed-Infectious-Recovered) model with additional compartments for the hospitalized, intensive unit, long-COVID and death. The rates of infection corresponding age groups depend on the social contacts by POLYMOD study. The model is fitted to reported cases from KMK and RKI (survstat). The fitted parameters are used to predict the number of cases in schools. We consider the last two weeks reported data to show two weeks forecasts. The forecasts is shown in student and teacher/teaching staff cases.
Lower Saxony
Column
Count of COVID-19 Infected pupils
Count of COVID-19 Infected teacher
Column
Vorhersage
The model is also developed as an age-structured model. It is adopted by deterministic SEIR (Susceptible-Exposed-Infectious-Recovered) model with additional compartments for the hospitalized, intensive unit, long-COVID and death. The rates of infection corresponding age groups depend on the social contacts by POLYMOD study. The model is fitted to reported cases from KMK and RKI (survstat). The fitted parameters are used to predict the number of cases in schools. We consider the last two weeks reported data to show two weeks forecasts. The forecasts is shown in student and teacher/teaching staff cases.
Mecklenburg-Vorpommern
Column
Count of COVID-19 Infected pupils
Count of COVID-19 Infected teacher
Column
Vorhersage
The model is also developed as an age-structured model. It is adopted by deterministic SEIR (Susceptible-Exposed-Infectious-Recovered) model with additional compartments for the hospitalized, intensive unit, long-COVID and death. The rates of infection corresponding age groups depend on the social contacts by POLYMOD study. The model is fitted to reported cases from KMK and RKI (survstat). The fitted parameters are used to predict the number of cases in schools. We consider the last two weeks reported data to show two weeks forecasts. The forecasts is shown in student and teacher/teaching staff cases.
North Rhine-Westphalia
Column
Count of COVID-19 Infected pupils
Count of COVID-19 Infected teacher
Column
Vorhersage
The model is also developed as an age-structured model. It is adopted by deterministic SEIR (Susceptible-Exposed-Infectious-Recovered) model with additional compartments for the hospitalized, intensive unit, long-COVID and death. The rates of infection corresponding age groups depend on the social contacts by POLYMOD study. The model is fitted to reported cases from KMK and RKI (survstat). The fitted parameters are used to predict the number of cases in schools. We consider the last two weeks reported data to show two weeks forecasts. The forecasts is shown in student and teacher/teaching staff cases.
Rhineland-Palatinate
Column
Count of COVID-19 Infected pupils
Count of COVID-19 Infected teacher
Column
Vorhersage
The model is also developed as an age-structured model. It is adopted by deterministic SEIR (Susceptible-Exposed-Infectious-Recovered) model with additional compartments for the hospitalized, intensive unit, long-COVID and death. The rates of infection corresponding age groups depend on the social contacts by POLYMOD study. The model is fitted to reported cases from KMK and RKI (survstat). The fitted parameters are used to predict the number of cases in schools. We consider the last two weeks reported data to show two weeks forecasts. The forecasts is shown in student and teacher/teaching staff cases.
Saarland
Column
Count of COVID-19 Infected pupils
Count of COVID-19 Infected teacher
Column
Vorhersage
The model is also developed as an age-structured model. It is adopted by deterministic SEIR (Susceptible-Exposed-Infectious-Recovered) model with additional compartments for the hospitalized, intensive unit, long-COVID and death. The rates of infection corresponding age groups depend on the social contacts by POLYMOD study. The model is fitted to reported cases from KMK and RKI (survstat). The fitted parameters are used to predict the number of cases in schools. We consider the last two weeks reported data to show two weeks forecasts. The forecasts is shown in student and teacher/teaching staff cases.
Saxony
Column
Count of COVID-19 Infected pupils
Count of COVID-19 Infected teacher
Column
Vorhersage
The model is also developed as an age-structured model. It is adopted by deterministic SEIR (Susceptible-Exposed-Infectious-Recovered) model with additional compartments for the hospitalized, intensive unit, long-COVID and death. The rates of infection corresponding age groups depend on the social contacts by POLYMOD study. The model is fitted to reported cases from KMK and RKI (survstat). The fitted parameters are used to predict the number of cases in schools. We consider the last two weeks reported data to show two weeks forecasts. The forecasts is shown in student and teacher/teaching staff cases.
Saxony-Anhalt
Column
Count of COVID-19 Infected pupils
Count of COVID-19 Infected teacher
Column
Vorhersage
The model is also developed as an age-structured model. It is adopted by deterministic SEIR (Susceptible-Exposed-Infectious-Recovered) model with additional compartments for the hospitalized, intensive unit, long-COVID and death. The rates of infection corresponding age groups depend on the social contacts by POLYMOD study. The model is fitted to reported cases from KMK and RKI (survstat). The fitted parameters are used to predict the number of cases in schools. We consider the last two weeks reported data to show two weeks forecasts. The forecasts is shown in student and teacher/teaching staff cases.
Schleswig-Holstein
Column
Count of COVID-19 Infected pupils
Count of COVID-19 Infected teacher
Column
Vorhersage
The model is also developed as an age-structured model. It is adopted by deterministic SEIR (Susceptible-Exposed-Infectious-Recovered) model with additional compartments for the hospitalized, intensive unit, long-COVID and death. The rates of infection corresponding age groups depend on the social contacts by POLYMOD study. The model is fitted to reported cases from KMK and RKI (survstat). The fitted parameters are used to predict the number of cases in schools. We consider the last two weeks reported data to show two weeks forecasts. The forecasts is shown in student and teacher/teaching staff cases.
Thuringia
Column
Forecast of COVID-19 Infected pupils
Forecast of COVID-19 Infected teacher
Column
Vorhersage
The model is also developed as an age-structured model. It is adopted by deterministic SEIR (Susceptible-Exposed-Infectious-Recovered) model with additional compartments for the hospitalized, intensive unit, long-COVID and death. The rates of infection corresponding age groups depend on the social contacts by POLYMOD study. The model is fitted to reported cases from KMK and RKI (survstat). The fitted parameters are used to predict the number of cases in schools. We consider the last two weeks reported data to show two weeks forecasts. The forecasts is shown in student and teacher/teaching staff cases.